Object Detection + Tracking (ID + Trails) using YOLOv8... on custom dataset. Github Repo: Youtube Video Tutorial:show more

Football players detection + tracking using Ultralytics YOLO26 ⚽️... It took me 30 minutes to train the YOLO26 model on a custom dataset using Ultralytics Platform. Later, I used the object tracker (Bytetrack) for tracking the players; tracking could be improved further, and I am working on it this week. More info 👇 #soccer #football #MachineLearningshow more

Working on a new tutorial - time in the... zone. Detection, tracking, and zones are ready. Time to add timers. GitHub repository:show more

Object detection + tracking + counting using Ultralytics YOLO26... 🚀 👉 Object detection tells you what is in a scene. 👉 Tracking follows each object across video frames. 👉 Counting turns those movements into actionable data. YOLO26 delivers fast, accurate detections, while multi-object tracking maintains unique identities across frames. Add configurable counting lines or regions to measure entries, exits, directional movement, and other real-world traffic metrics. #vehicles #MachineLearning #Highwayshow more

Vehicle tracking using Ultralytics YOLO26 👀 In this demo,... I trained the YOLO26 model on a custom dataset and later used an object tracker (Bytetrack) to track the objects in the video file. Note: I also performed testing with Botsort, which is also a good tracker, but it's slow in comparision to Bytetrack. #Tracking #ComputerVision #MachineLearningshow more

RoadScan-AI-Automated-Pothole-Detection-Tracking RoadScan AI is a computer vision system built... to automatically detect and track potholes in road footage — including dashcam, drone, and fixed-camera video. At its core, the system uses a YOLO11n model fine-tuned on a custom pothole dataset, paired with ByteTrack for multi-object tracking. This enables the system to maintain a consistent identity for each pothole across frames rather than treating every detection as a new, isolated event.show more

Pothole detection on the road in real time using... Ultralytics YOLO26! 🕳️ Manual road inspections are slow, costly, and hard to scale. With object detection, potholes can be identified directly from street-level images or video feeds, enabling faster and more consistent road condition monitoring. How I built this demo: ✅ Trained a segmentation model on a custom dataset. ✅ Generated mask contours for each pothole. ✅ Leveraged the onnx-exported model for faster processing. #Pothole #RoadDamage #AIshow more

introducing: fruit xylophone a computer vision music experiment built... with mediapipe hand tracking and roboflow RF-DETR object detection (running in realtime in the browser using transformers js)show more

would you watch a stream where I show how... to build analytics system like this with supervision? - detection filtering with polygon zones - object tracking - customizable annotators - line zones with in/out counters - per-class counts supervision repo:show more

Tutorial on how to add an embroidered effect on... any object in illustrator with no plugin, using object > create mosaic + global editshow more

SAM3 video tracking is so good yesterday: collect data,... train custom object detector, use tracker to estimate object motion - days today: track anything with text prompt - secondsshow more

built a custom video-gen pipeline for drones for making... a custom low latency drone detection + tracking + future trajectory prediction pipeline with 3D reconstruction. based on modern stack involving Roboflow and Ultralytics for custom data pipeline and model building and Rerun for visualisation...show more

smart parking demo - RF-DETR - license plate detection... - OC-SORT - multi-object tracking - GLM-OCR - reading license plates on Monday I showed you trackers, yesterday GLM-OCR, today I'm putting everything togethershow more

Train a TensorFlow object detection model – then deploy... it on a robot 🤖 Iulia Feroli (Iulia Feroli) shows how to turn a notebook into a real-time object detection app. This tutorial works for any project – though we demonstrate the deployment on (and assisted by!) the #ReachyMini, an open-source robot from Pollen Robotics. Built with PyCharm + Claude Code. 👉 Watch it in action:show more

Check out this 📹 step-by-step tutorial on how to... visualize and download 🛰️ satellite images of the #Morocco earthquake using the Maxar Open Data on #AWS. Video: Web App: GitHub: Notebook: #moroccoearthquake #geospatial #dataviz #pythonshow more

Another SUPER useful prototype app to make using visionOS... 27’s High Frame Rate Object Tracking and Low-Latency Video (via LowLevelDeviceResource) Capturing Spatial Video on my Stereo Lens is annoying. Viewfinder is split in half! Lets make a 3D digital one that tracks on top!show more

🔥New tutorial!🥳 Animate faster in #Blender using pose libraries... and the asset browser. Check out the full tutorial on my #Youtube channel. 👉 #p2design #animation #B3D #3Dshow more

Core AI: Realtime video image detection, tracking, and segmentation... with SAM 3 and RF-DETR. All running on-device. I will share the code in the comments.show more

The YOLO-World YouTube tutorial is out! please, let us... know what you think! - model architecture - processing images and video in Colab - prompt engineering and detection refinement - pros and cons of the model watch here: ↓ more resourcesshow more

A sneak peek of a new feature in the... #GeoAI Python package! 🎉 Now you can detect cars from georeferenced aerial imagery using deep learning—all with just a few lines of code. Stay tuned for an in-depth video tutorial coming soon! 🛠️ Explore the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist:show more

I made another Tutorial on how to create the... video below using TASUKU2023's #chilloutmix with #temporalkit and #ControlNet . Enjoy👉 Original video📷 #stablediffusion #automatic1111show more